Kunze Linear Algebra · Problem 2.3.9
Vector Spaces
Mathematics — Methods · linear-independence-sums
Problem
Let be a vector space over a subfield of the complex numbers. Suppose , , and are linearly independent vectors in . Prove that , , and are linearly independent.Intuitive explanation
The key is to test linear independence directly: assume a linear combination of these three new vectors equals zero, then use the original independence of , , to force all coefficients to be zero. When you expand the combination and collect terms by the original vectors, you'll get a system of equations in the original coefficients—the constraint that , , are independent means each original vector's coefficient must vanish separately, which cascades back to your original unknowns.
Intuitive explanation
The key is to test linear independence directly: assume a linear combination of these three new vectors equals zero, then use the original independence of , , to force all coefficients to be zero. When you expand the combination and collect terms by the original vectors, you'll get a system of equations in the original coefficients—the constraint that , , are independent means each original vector's coefficient must vanish separately, which cascades back to your original unknowns.